Product Images White Glo Micellar

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Product Label Images

The following 2 images provide visual information about the product associated with White Glo Micellar NDC 73656-003 by White Glo Usa Inc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Inner Package - Inner Package

Inner Package - Inner Package

White Glo Micellar Toothpaste is an effective toothpaste that helps whiten teeth and improve oral health. It contains micelles and micro-polishing particles that clean teeth and remove yellowing and discoloration from enamel. This toothpaste offers a clean and fresh sensation that lasts longer, and fluoride protection against cavities and decay. It is also safe for daily use due to its low abrasion formula. The active ingredient is sodium monofluorophosphate 0.76% (0.1% WA fluoride ion). The toothpaste is distributed by White Glo USA Inc. in the United States and Top Brands Inc. in Canada. However, it is not labelled for retail sale. For more information, customers can visit www.whiteglo.com or contact [email protected] with any questions.*

Outer Package - Outer Package

Outer Package - Outer Package

This is a description of a toothpaste product called WHITE GLO. It was developed and formulated by Barros Laboratories PTY LTD in Australia. The toothpaste has an active ingredient of Sodium monofluorophosphate used to combat cavities. It comes with warnings to keep out of the reach of children under the age of 6 years and to seek medical attention in case of accidental swallowing. The toothpaste is gluten-free and not tested on animals. It is distributed by White Glo USA Inc. in the United States and Top Brands Inc. in Canada. It comes in a 5.2 oz(150g) tube and can be used by adults and children. The toothpaste is suitable for use twice a day or as instructed by a dentist or doctor.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.